Realty Income (O) Receivables - Net (2010 - 2026)
Realty Income's (O) quarterly Receivables - Net came in at $1.1 billion in Q2 2026, up 17.98% year-over-year from $962.1 million in Q2 2025, and up 1.6% quarter-over-quarter from $1.1 billion in Q1 2026.
Realty Income (O) Receivables - Net (2010 - 2026) Analysis & Trends
Realty Income has disclosed Receivables - Net across 17 years of filings, most recently posting $1.1 billion for Q2 2026.
- In Q2 2026, Receivables - Net rose 17.98% year-over-year to $1.1 billion; the TTM figure through Jun 2026 stood at $1.1 billion (up 17.98% YoY), while the FY2025 annual figure was $1.1 billion, up 20.03% from the prior year.
- Receivables - Net came in at $1.1 billion for Q2 2026 at Realty Income, up from $1.1 billion in the prior quarter.
- In the past five years, Receivables - Net ranged from a high of $1.1 billion in Q2 2026 to a low of $468.2 million in Q1 2022.
- Average Receivables - Net over 5 years is $788.1 million, with a median of $788.9 million recorded in 2024.
- Year-over-year, Receivables - Net jumped 54.87% in 2022 and climbed 17.3% in 2026.
- Over 5 years, Receivables - Net stood at $543.2 million in 2022, then soared by 30.8% to $710.5 million in 2023, then grew by 23.52% to $877.7 million in 2024, then advanced by 20.03% to $1.1 billion in 2025, then advanced by 7.74% to $1.1 billion in 2026.
- Per Business Quant data, the three most recent Receivables - Net figures were $1.1 billion in Q2 2026, $1.1 billion in Q1 2026, and $1.1 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.12 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 962.05 Mn |
| Mar 31, 2025 | 952.41 Mn |
| Dec 31, 2024 | 877.67 Mn |
| Sep 30, 2024 | 835.33 Mn |
| Jun 30, 2024 | 788.64 Mn |
| Mar 31, 2024 | 789.24 Mn |
| Dec 31, 2023 | 710.54 Mn |
| Sep 30, 2023 | 678.44 Mn |
| Jun 30, 2023 | 620.60 Mn |
| Mar 31, 2023 | 617.36 Mn |
| Dec 31, 2022 | 543.24 Mn |
| Sep 30, 2022 | 529.25 Mn |
| Jun 30, 2022 | 500.38 Mn |
| Mar 31, 2022 | 468.17 Mn |
| Dec 31, 2021 | 426.77 Mn |
| Sep 30, 2021 | 341.73 Mn |
Realty Income Receivables - Net API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables-net&ticker=O&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "O", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=O&period=max&api_key=YOUR_API_KEY");
const data = await res.json();